Demographics details for Cullom, IL vs Sainte genevieve, MO

Population Overview

Compare main population characteristics in Cullom, IL vs Sainte genevieve, MO.

Data Cullom Sainte genevieve
Population 511 5,033
Median Age 41.6 years 43.6 years
Median Income $58,472 $52,760
Married Families 35.0% 46.0%
Poverty Level 9% 10%
Unemployment Rate 3.5 3.5

Population Comparison: Cullom vs Sainte genevieve

  • The population in Sainte genevieve is higher at 5,033, compared to 511 in Cullom.
  • The median age in Sainte genevieve is higher at 43.6 years, compared to 41.6 years in Cullom.
  • Cullom has a higher median income of $58,472 compared to $52,760 in Sainte genevieve.
  • In Sainte genevieve, the percentage of married families is higher at 46.0%, compared to 35.0% in Cullom.
  • The poverty level is higher in Sainte genevieve at 10%, compared to 9% in Cullom.
  • The unemployment rate is the same in both Cullom and Sainte genevieve at 3.5%.

Demographics

Demographics Cullom vs Sainte genevieve provide insight into the diversity of the communities to compare.

Demographic Cullom Sainte genevieve
Black Data is updating 3
White 82 86
Asian Data is updating 2
Hispanic 11 3
Two or More Races 7 6
American Indian Data is updating Data is updating

Demographics Comparison: Cullom vs Sainte genevieve

  • In Sainte genevieve, the percentage of Black residents is higher at 3% compared to 0% in Cullom.
  • The percentage of White residents is higher in Sainte genevieve at 86% compared to 82% in Cullom.
  • In Sainte genevieve, the Asian population stands at 2%, greater than 0% in Cullom.
  • The Hispanic community is larger in Cullom at 11% compared to 3% in Sainte genevieve.
  • More residents identify as two or more races in Cullom at 7% compared to 6% in Sainte genevieve.
  • The percentage of American Indian residents is the same in both Cullom and Sainte genevieve at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Cullom Sainte genevieve
Mental Health Not Good 17.2% 17.8%
Physical Health Not Good 11.6% 12.6%
Depression 23.0% 25.5%
Smoking 18.7% 21.3%
Binge Drinking 17.9% 19.2%
Obesity 38.7% 40.0%
Disability Percentage 23.0% 18.0%

Health Statistics Comparison: Cullom vs Sainte genevieve

  • In Sainte genevieve, a higher percentage report poor mental health at 17.8% compared to 17.2% in Cullom.
  • Higher depression rates are seen in Sainte genevieve at 25.5% versus 23.0% in Cullom.
  • Sainte genevieve has a higher smoking rate at 21.3% compared to 18.7% in Cullom.
  • More residents engage in binge drinking in Sainte genevieve at 19.2% compared to 17.9% in Cullom.
  • Sainte genevieve has higher obesity rates at 40.0% compared to 38.7% in Cullom.
  • Disability percentages are higher in Cullom at 23.0% compared to 18.0% in Sainte genevieve.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Cullom Sainte genevieve
No Schooling 2.2% (11) 1.6% (83)
High School Diploma 19.0% (97) 24.3% (1,224)
Less than High School 11.4% (58) 9.8% (494)
Bachelor's Degree and Higher 9.4% (48) 10.9% (551)

Education Levels Comparison: Cullom vs Sainte genevieve

  • A higher percentage of residents in Cullom have no formal schooling at 2.2% compared to 1.6% in Sainte genevieve.
  • In Sainte genevieve, the rate of residents with high school diplomas is higher at 24.3% compared to 19.0% in Cullom.
  • More residents in Cullom have less than a high school education at 11.4% compared to 9.8% in Sainte genevieve.
  • In Sainte genevieve, a larger share of residents have a bachelor's degree or higher at 10.9% compared to 9.4% in Cullom.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.